{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["damage amount", "attacker", "time", "price", "tool", "payment method", "place", "attack pattern"]}, {"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "time", "attack pattern", "damage amount"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerable system", "issues addressed", "time", "releaser", "patch", "vulnerability", "supported platform", "vulnerable system version", "common vulnerabilities and exposures"]}, {"event_type": "data breach", "trigger": true, "arguments": ["tool", "time", "attack pattern", "place", "number of victim", "number of data", "victim", "attacker", "compromised data", "damage amount", "purpose"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "vulnerability", "supported platform", "capabilities", "time", "vulnerable system owner", "vulnerable system", "common vulnerabilities and exposures"]}], "input": "The report detailed the various methods used to gain access to computers and private social accounts ."}
{"ransom": [], "phishing": [], "patch vulnerability": [], "data breach": [{"trigger": "gain access", "arguments": {"tool": "NAN", "time": "NAN", "attack pattern": "NAN", "place": "NAN", "number of victim": "NAN", "number of data": "NAN", "victim": "computers", "attacker": "NAN", "compromised data": "private social accounts", "damage amount": "NAN", "purpose": "NAN"}}], "discover vulnerability": []}